Sentence examples for variation in pollutants from inspiring English sources

The effects of relatively small yearly variation in pollutants were remarkably large.

The van pursued specific vehicles to measure their emissions, drove transects across the city to capture the spatial variation in pollutants, and parked at several locations in the city [ 35].

Univariately, the stove scale as compared to stove type (traditional versus improved) accounted for a higher percent of the variation in pollutant concentrations; for example, the stove scale predicted 79% of the variation and the stove type predicted 54% of the variation in indoor carbon monoxide concentrations.

Moreover, such measures are unlikely to properly account for the small scale variation in pollutant concentrations [ 1].

Therefore, because of temporal variation in pollutant levels, the shorter duration of exposure during the third trimester among women with preeclampsia could have resulted in biased exposure assessment (Lewis et al. 2011; O'Neill et al. 2003).

We previously reported that yearly variation in pollutant levels in the 12 Children's Health Study communities was strongly associated with yearly variation in the prevalence of chronic cough, phlegm, and bronchitis among asthmatic children in this cohort (McConnell et al. 2003).

Temporal exposure contrasts account for temporal variation in pollutant levels by assigning measurements from a single monitoring station to all study subjects, whereas spatiotemporal contrasts account for both spatial and temporal components of variation in air pollution levels when estimating exposure.

AQ model estimates were obtained by combining local- and regional-scale model results (based on CS measurements) to account for all major atmospheric processes, including local contributions (driven by local-scale variation in pollutant emissions and meteorology) and regional contributions (background levels associated with large-scale synoptic patterns).

Week-to-week variations in pollutants in Brisbane are caused by many factors including the number of cars on the roads (which decrease during school holidays) and bushfires.

Ideally, pollution exposure would be measured individually to account for variation in exposure due to time spent outdoors, commuting, indoor exposure, seasonal fluctuation, and neighborhood-level variations in pollutants.

We report GIS-based methods for systematically allocating monitors across locally-specific pollution source and topography profiles, and address challenges of distinguishing spatial and temporal components of local pollution variation in different pollutants by comparing two temporal adjustment approaches.